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作 者:陈林 黎敏谦[1] 高峰[1] 刘敏 张弛 CHEN Lin;LIMinqian;GAO Feng;LIU Min;ZHANG Chi(Weaponry Department,Naval Petty Officer Academy,Bengbu 233000,China;Unit 92957of Navy,Zhoushan 316000,China)
机构地区:[1]海军士官学校兵器系,安徽蚌埠233000 [2]海军92957部队,浙江舟山316000
出 处:《红外技术》2022年第6期635-640,共6页Infrared Technology
基 金:“十三五”军队重点院校和重点学科专业建设计划资助。
摘 要:为了提高红外检测的精度,实现缺陷深度和大小的同步检测,将共轭梯度反演算法分别与脉冲检测技术和脉冲相位检测技术相结合,实现了基于相位和表面温度的红外定量识别,通过数字算例对比分析了不同因素对识别结果的影响。研究结果表明:在无测温误差时,基于相位和表面温度的识别都能准确地识别缺陷的位置大小;基于相位和表面温度的识别结果精度都会因随机误差的增大而降低;基于表面温度的识别结果精度会因均匀误差的增大而降低,但是均匀误差对基于相位的识别无影响。To improve the accuracy of infrared detection and realize synchronous detection of defect depth and size,a conjugate gradient recognition algorithmis integrated with pulsed thermography and pulsed phase thermography.Quantitative identification of infrared technologyis achieved based on the phase and surface temperatures.The influence of these factors on the identification result is analyzed using numerical examples.The results show that without temperature errors,the defect is accurately identified based on the phase and surface temperature.The random temperature error decreases the accuracy of the identification result based on the phase and surface temperature.The uniform temperature error decreases the accuracy of the identification result based on the surface temperature.However,the uniform temperature measurement error does not affect the identification result based on the phase.
分 类 号:TK38[动力工程及工程热物理—热能工程]
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